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Simulation of plume dispersion from single release in Fusion Field Trial-07 experiment

机译:在Fusion Field Trial-07实验中模拟单次释放的羽流分散

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Accurate description of source-receptor relationship is required for an efficient source reconstruction. This is examined by simulating the dispersion of plumes resulted from the available ten trials of single releases conducted at Fusion Field Trials, Dugway Proving Ground, Utah. The simulation is addressed with an earlier developed IIT (Indian Institute of Technology) dispersion model using the dispersion parameters in terms of measurements of turbulent velocity fluctuations. Simulation is described separately in both stable and unstable conditions, characterizing the peak as well as overall observed concentration distribution. Simulated results are compared with those obtained using AERMOD. With IIT model, peak concentrations are predicted within a factor of two in all the trials. The higher concentrations (>5 x10~(-4) g m~(-3)) are well predicted in stable condition and under-predicted (within a factor of two) in unstable condition whereas relatively smaller concentrations (>5 x10~(-4) g m~(-3)) are severely under-predicted in stable conditions and over-predicted in unstable conditions. The AERMOD exhibits the similar prediction of concentrations as shown by IIT model in most of the trials. Overall, both the models predict 70-80% concentrations in stable conditions and 85-95% concentrations in unstable conditions within a factor of six. The statistical measures for both the models are found well in agreement with the observations.
机译:有效的源重建需要精确描述源-受体关系。通过模拟在犹他州Dugway试验场的Fusion Field Trials中进行的十次单次释放试验所产生的羽状流的扩散来检查这一点。使用较早开发的IIT(印度技术学院)色散模型解决了该仿真问题,该模型使用色散参数来测量湍流速度波动。在稳定和不稳定条件下分别描述了模拟,描述了峰的特征以及观察到的总体浓度分布。将模拟结果与使用AERMOD获得的结果进行比较。在所有试验中,使用IIT模型预测的峰浓度都在两倍之内。较高的浓度(> 5 x10〜(-4)gm〜(-3))在稳定条件下可被很好地预测,而在不稳定状况下则被低估(在两倍之内),而相对较小的浓度(> 5 x10〜(-4)gm〜(-3) 4)gm〜(-3))在稳定条件下严重低估,在不稳定条件下高估。在大多数试验中,AERMOD对浓度的预测与IIT模型显示的相似。总体而言,这两个模型都预测稳定条件下的浓度为70-80%,不稳定条件下的浓度为85-95%,范围是六分之一。两种模型的统计量均与观察值一致。

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